Thanks @Chamikara Jayalath<mailto:chamik...@google.com> I created this jira: https://issues.apache.org/jira/browse/BEAM-11721
From: Chamikara Jayalath <chamik...@google.com> Date: Friday, January 29, 2021 at 2:47 PM To: Tao Li <t...@zillow.com> Cc: "user@beam.apache.org" <user@beam.apache.org> Subject: Re: Potential bug with ParquetIO.read when reading arrays Sounds like a bug. I think JIRA with a test case will still be helpful. On Fri, Jan 29, 2021 at 2:33 PM Tao Li <t...@zillow.com<mailto:t...@zillow.com>> wrote: @Chamikara Jayalath<mailto:chamik...@google.com> Sorry about the confusion. But I did more testing and using the spark runner actually yields the same error: java.lang.ClassCastException: shaded.org.apache.avro.generic.GenericData$Record cannot be cast to java.lang.Number at shaded.org.apache.avro.generic.GenericDatumWriter.writeWithoutConversion(GenericDatumWriter.java:130) at shaded.org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:75) at shaded.org.apache.avro.generic.GenericDatumWriter.writeArray(GenericDatumWriter.java:192) at shaded.org.apache.avro.generic.GenericDatumWriter.writeWithoutConversion(GenericDatumWriter.java:120) at shaded.org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:75) at shaded.org.apache.avro.generic.GenericDatumWriter.writeField(GenericDatumWriter.java:166) at shaded.org.apache.avro.generic.GenericDatumWriter.writeRecord(GenericDatumWriter.java:156) at shaded.org.apache.avro.generic.GenericDatumWriter.writeWithoutConversion(GenericDatumWriter.java:118) at shaded.org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:75) at shaded.org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:62) at org.apache.beam.sdk.coders.AvroCoder.encode(AvroCoder.java:317) at org.apache.beam.sdk.coders.Coder.encode(Coder.java:136) at org.apache.beam.sdk.coders.KvCoder.encode(KvCoder.java:73) at org.apache.beam.sdk.coders.KvCoder.encode(KvCoder.java:37) at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.encode(WindowedValue.java:591) at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.encode(WindowedValue.java:582) at org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.encode(WindowedValue.java:542) at org.apache.beam.runners.spark.coders.CoderHelpers.toByteArray(CoderHelpers.java:55) at org.apache.beam.runners.spark.translation.GroupNonMergingWindowsFunctions.lambda$groupByKeyAndWindow$c9b6f5c4$1(GroupNonMergingWindowsFunctions.java:86) at org.apache.beam.runners.spark.translation.GroupNonMergingWindowsFunctions.lambda$bringWindowToKey$0(GroupNonMergingWindowsFunctions.java:129) at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.Iterators$6.transform(Iterators.java:785) at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.TransformedIterator.next(TransformedIterator.java:47) at scala.collection.convert.Wrappers$JIteratorWrapper.next(Wrappers.scala:43) at scala.collection.Iterator$$anon$12.next(Iterator.scala:445) at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:149) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55) at org.apache.spark.scheduler.Task.run(Task.scala:123) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) From: Chamikara Jayalath <chamik...@google.com<mailto:chamik...@google.com>> Reply-To: "user@beam.apache.org<mailto:user@beam.apache.org>" <user@beam.apache.org<mailto:user@beam.apache.org>> Date: Friday, January 29, 2021 at 10:53 AM To: user <user@beam.apache.org<mailto:user@beam.apache.org>> Subject: Re: Potential bug with ParquetIO.read when reading arrays Thanks. It might be something good to document in case other users run into this as well. Can you file a JIRA with the details ? On Fri, Jan 29, 2021 at 10:47 AM Tao Li <t...@zillow.com<mailto:t...@zillow.com>> wrote: OK I think this issue is due to incompatibility between the parquet files (created with spark 2.4) and parquet version as a dependency of ParquetIO 2.25. It seems working after I switch to spark runner (from direct runner) and run the beam app in a spark cluster. I assume by doing this I am basically using parquet jars from spark distributable directly and now everything is compatible. From: Tao Li <t...@zillow.com<mailto:t...@zillow.com>> Reply-To: "user@beam.apache.org<mailto:user@beam.apache.org>" <user@beam.apache.org<mailto:user@beam.apache.org>> Date: Friday, January 29, 2021 at 7:45 AM To: "user@beam.apache.org<mailto:user@beam.apache.org>" <user@beam.apache.org<mailto:user@beam.apache.org>> Subject: Re: Potential bug with ParquetIO.read when reading arrays Hi community, Can someone take a look at this issue? It is kind of a blocker to me right now. Really appreciate your help! From: Tao Li <t...@zillow.com<mailto:t...@zillow.com>> Reply-To: "user@beam.apache.org<mailto:user@beam.apache.org>" <user@beam.apache.org<mailto:user@beam.apache.org>> Date: Thursday, January 28, 2021 at 6:13 PM To: "user@beam.apache.org<mailto:user@beam.apache.org>" <user@beam.apache.org<mailto:user@beam.apache.org>> Subject: Re: Potential bug with ParquetIO.read when reading arrays BTW I tried avro 1.8 and 1.9 and both have the same error. So we can probably rule out any avro issue. From: Tao Li <t...@zillow.com<mailto:t...@zillow.com>> Reply-To: "user@beam.apache.org<mailto:user@beam.apache.org>" <user@beam.apache.org<mailto:user@beam.apache.org>> Date: Thursday, January 28, 2021 at 9:07 AM To: "user@beam.apache.org<mailto:user@beam.apache.org>" <user@beam.apache.org<mailto:user@beam.apache.org>> Subject: Potential bug with ParquetIO.read when reading arrays Hi Beam community, I am seeing an error when reading an array field using ParquetIO. I was using beam 2.25 and the direct runner for testing. Is this a bug or a known issue? Am I missing anything here? Please help me root cause this issue. Thanks so much! Attached are the avro schema and the parquet file. Below is the schema tree as a quick visualization. The array field name is “list” and the element type is int. You can see this schema defined in the avsc file as well. root |-- list: array (nullable = true) | |-- element: integer (containsNull = true) The beam code is very simple: pipeline.apply(ParquetIO.read(avroSchema).from(parquetPath)); Here is the error when running that code: [direct-runner-worker] INFO shaded.org.apache.parquet.hadoop.InternalParquetRecordReader - block read in memory in 130 ms. row count = 1 Exception in thread "main" org.apache.beam.sdk.Pipeline$PipelineExecutionException: java.lang.ClassCastException: org.apache.avro.generic.GenericData$Record cannot be cast to java.lang.Number at org.apache.beam.runners.direct.DirectRunner$DirectPipelineResult.waitUntilFinish(DirectRunner.java:353) at org.apache.beam.runners.direct.DirectRunner$DirectPipelineResult.waitUntilFinish(DirectRunner.java:321) at org.apache.beam.runners.direct.DirectRunner.run(DirectRunner.java:216) at org.apache.beam.runners.direct.DirectRunner.run(DirectRunner.java:67) at org.apache.beam.sdk.Pipeline.run(Pipeline.java:317) at org.apache.beam.sdk.Pipeline.run(Pipeline.java:303) Caused by: java.lang.ClassCastException: org.apache.avro.generic.GenericData$Record cannot be cast to java.lang.Number at org.apache.avro.generic.GenericDatumWriter.writeWithoutConversion(GenericDatumWriter.java:156) at org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:82) at org.apache.avro.generic.GenericDatumWriter.writeArray(GenericDatumWriter.java:234) at org.apache.avro.generic.GenericDatumWriter.writeWithoutConversion(GenericDatumWriter.java:136) at org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:82) at org.apache.avro.generic.GenericDatumWriter.writeField(GenericDatumWriter.java:206) at org.apache.avro.generic.GenericDatumWriter.writeRecord(GenericDatumWriter.java:195) at org.apache.avro.generic.GenericDatumWriter.writeWithoutConversion(GenericDatumWriter.java:130) at org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:82) at org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:72) at org.apache.beam.sdk.coders.AvroCoder.encode(AvroCoder.java:317) at org.apache.beam.sdk.coders.Coder.encode(Coder.java:136) at org.apache.beam.sdk.util.CoderUtils.encodeToSafeStream(CoderUtils.java:82) at org.apache.beam.sdk.util.CoderUtils.encodeToByteArray(CoderUtils.java:66) at org.apache.beam.sdk.util.CoderUtils.encodeToByteArray(CoderUtils.java:51) at org.apache.beam.sdk.util.CoderUtils.clone(CoderUtils.java:141) at org.apache.beam.sdk.util.MutationDetectors$CodedValueMutationDetector.<init>(MutationDetectors.java:115) at org.apache.beam.sdk.util.MutationDetectors.forValueWithCoder(MutationDetectors.java:46) at org.apache.beam.runners.direct.ImmutabilityCheckingBundleFactory$ImmutabilityEnforcingBundle.add(ImmutabilityCheckingBundleFactory.java:112) at org.apache.beam.runners.direct.ParDoEvaluator$BundleOutputManager.output(ParDoEvaluator.java:301) at org.apache.beam.repackaged.direct_java.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:267) at org.apache.beam.repackaged.direct_java.runners.core.SimpleDoFnRunner.access$900(SimpleDoFnRunner.java:79) at org.apache.beam.repackaged.direct_java.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:413) at org.apache.beam.repackaged.direct_java.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:401) at org.apache.beam.sdk.io.parquet.ParquetIO$ReadFiles$ReadFn.processElement(ParquetIO.java:646)
